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PhD Student: The Institute for Mathematical Stochastics (Prof. Dr. Anja Sturm) seeks qualified applicants for the position of a PhD student starting on or after February 01, 2018 for the duration of three years (more information is available here).

Studentische Hilfskraft: Das Institut für Mathematische Stochastik sucht zum 01.01.2018 eine studentische Hilfskraft w/m im Rahmen des Graduiertenkollegs 2088, Teilprojekt A1 "Wasserstein Metrics in Statistics: Inference", Prof. Dr. Axel Munk (Ausschreibung).

Nächster Vortrag im Stochastischen Kolloquium:
25.10.2017, 11:15, Dr. Vlada Limic (Université de Strasbourg)

"What is a uniform distribution?" (Abstract).
Statistics Meets Friends: The workshop "Statistics Meets Friends - from biophysics to inverse problems and back -" takes place in Göttingen from November 29th to December 1st, 2017.

Arbeitsgruppe "Angewandte und Mathematische Statistik"

  • Li, H., Guo, Q., Munk, A. (2017).
    Multiscale Change-point Segmentation: Beyond Step Functions. arxiv.org/abs/1708.03942. Submitted.
  • Li, H., Guo, Q., Munk, A. (2017).
    Multiscale change-point segmentation: Beyond step functions arxiv.org 1708.03942. Submitted.
  • Grasmair, M., Li, H., Munk, A. (2017).
    Variational multiscale nonparametric regression: smooth functions Annales de l’Institute Henri Poincare (B), Probabilités et Statistiques, arxiv.org 1512.01068. To appear.
  • Li, H., Munk, A., Sieling, H., Walther, G. (2016).
    The essential histogram arxiv.org 1612.07216. Submitted.
  • Li, H., Munk, A., Sieling, H. (2016).
    FDR-control in multiscale change-point segmentation. Electron. J. Statist., 10(1), 918-959.
  • Peter, P., Weickert,J., Munk, A., Krivobokova, T., Li, H. (2015).
    Justifying tensor-driven diffusion from structure-adaptive statistics of natural images. Energy Minimization Methods in Computer Vision and Pattern Recognition, 8932, 263--277.
  • Li, H., Haltmeier, M., Zhang, S., Frahm, J., Munk, A. (2013).
    Aggregated Motion Estimation for Image Reconstruction in Real-Time MRI (Supplements). Magnetic Resonance in Medicine, DOI: 10.1002/mrm.25020.